├── .DS_Store ├── .gitignore ├── Adaboost ├── Iris.csv ├── README.md └── adaboost_base_35.py ├── Apriori ├── GroceryStoreDataSet.csv ├── README.md └── apriori.py ├── BIRCH Clustering └── README.md ├── Bayesian Regression ├── README.md └── bayessian_regression.py ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── DBSCAN ├── README.md └── dbscan.py ├── Decision Tree ├── Decision_Tree.jpg ├── Decision_Tree.png ├── README.md └── decision_tree_implementation.py ├── Elastic Net ├── Elastic_Net_Regression.py ├── README.md └── Salary_Data.csv ├── FP-Growth └── README.md ├── Gaussian Mixture Model ├── GaussianMixtureModel.py └── README.md ├── Genetic Algorithm ├── README.md └── genetic_algorithm.py ├── Hidden Markov Model ├── .DS_Store ├── README.md ├── assets │ ├── initial.png │ ├── model.png │ ├── observation.png │ └── state.png ├── hmm.py ├── main.py └── outputs │ ├── HMM.dot │ └── HMM.dot.png ├── Hierarchical Clustering ├── README.md └── implementation.py ├── K Nearest Neighbors ├── README.md └── k-nearest neighbors (KNN).py ├── K-Means ├── README.md └── kmeans.py ├── LICENSE ├── Lasso Regression ├── Lasso_Regression.py └── README.md ├── Linear Regression ├── Linear_Regression.py └── README.md ├── Linear discriminant analysis └── README.md ├── Logistic Regression ├── Logistic_Regression_base.py └── README.md ├── Lowess Regression ├── README.md └── lowessregression.py ├── Markov's Chain ├── Markov's-Chain.ipynb ├── Markov's-Chain.py ├── Readme.md └── Trump-Speech.txt ├── Mini Batch K-means Clustering └── README.md ├── Multilayer Perceptron ├── README.md ├── multi_layer_perceptron.jpg └── multi_layer_perceptron2.jpg ├── Multiple Linear Regression ├── README.md └── multiple_linear_regression_implementation.py ├── Naive Bayes ├── Naive Bayes.jpg ├── README.md └── naive_bayes.py ├── Neural Network ├── README.md └── neural_network.py ├── Perceptron ├── README.md ├── __pycache__ │ └── perceptron_training.cpython-38.pyc ├── perceptron_test.py └── perceptron_training.py ├── Preprocessing ├── min_max_scaler.py └── standard_scaler.py ├── Principal Component Analaysis ├── PCA.py └── README.md ├── README.md ├── Random Forest ├── README.md ├── randomForest.py └── randomForestTest.py ├── Ridge Regression ├── README.md └── Ridge Regression- Base.py ├── Spectral Clustering ├── README.md └── spectral_clustering.py ├── Support Vector Machine ├── README.md └── SVM_Linear_Kernal_&_documentation.py ├── XGBoost └── README.md └── stochastic gradient descent ├── README.md └── stochastic_gradient_descent_algo.py /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Algo-Phantoms/Algo-ScriptML/HEAD/.DS_Store -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | testing_file.py 2 | *.pyc 3 | -------------------------------------------------------------------------------- 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